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dc.contributor.authorFernández-Vega, Iván
dc.date.accessioned2019-09-11T11:34:28Z
dc.date.available2019-09-11T11:34:28Z
dc.date.created2019
dc.date.issued2019-09-11
dc.identifier.urihttps://hdl.handle.net/10630/18313
dc.descriptionPresented at NiPS Summer School 2019, Perugia (Italy)en_US
dc.description.abstractThis work presents results using transprecision techniques for reducing the precision of the computation of time series analysis. The developed benchmark allows to explore how the accuracy of the results is affected by this reduction in the precision of the data types. Custom hardware could benefit from this approach reducing energy consumption and improving performance.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAnálisis de series temporalesen_US
dc.subject.otherTime series analysisen_US
dc.subject.otherTransprecision computingen_US
dc.titleTime Series Analysis Using Transprecision Computingen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.centroE.T.S.I. Informáticaen_US
dc.relation.eventtitleNiPS Summer School 2019en_US
dc.relation.eventplacePerugia (Italy)en_US
dc.relation.eventdate04/09/2019en_US


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